Method for efficient and practical key distribution in network coding systems

ABSTRACT

An encoder includes a computer readable storage medium storing program instructions, and a processor executing the program instructions, the processor configured to generate a key, estimate a network capacity, and encode each bit of the key using a random matrix of a selected rank and the estimated network capacity for secure transmission of the key through a network.

CROSS REFERENCE TO RELATED APPLICATIONS

The present application is a Continuation application Ser. No.15/185,743 filed on Jun. 17, 2016, the entire contents of which areincorporated herein by reference.

The present application is related to co-pending U.S. patent applicationSer. No. 15/141,049, filed on Apr. 28, 2016, and U.S. patent applicationSer. No. 15/141,082, filed on Apr. 28, 2016, the entire contents ofwhich are incorporated herein by reference.

BACKGROUND OF THE INVENTION Field of the Invention

The disclosed invention relates generally to a method and system fornetwork coding, and more particularly, but not by way of limitation,relating to a system, apparatus, and method for efficient and practicalkey distribution in network coding systems.

Description of the Related Art

A source wishes to multicast information to a set of terminals over anetwork. The technique of network coding, i.e., allowing routers to mixthe information in packets before forwarding them, is able to maximizenetwork throughput, improve robustness against packet losses, and can beefficiently implemented in a distributed manner.

Compared to traditional routing, network coding imposes new securitychallenges. For example, an active adversary may easily corrupt thewhole system as a single injected error packet may pollute many othersin the process of mixing.

Numerous error control schemes have been proposed to address the abovesecurity challenges. Most of these schemes assume that secret keys areshared among the source and terminals and potentially the network nodes.In addition, secret keys are essential in providing other securityproperties such as secrecy and authentication. Existing key distributionschemes such as PKI (Public Key Infrastructure) or trusted third party(TTP) do not meet the requirements for network coding systems and havethe drawback of requiring additional resources or infrastructure, orrequire collaboration from intermediate network codes. On the otherhand, existing information theoretic key distribution schemes fornetwork coding systems require prior knowledge on the capacity of thenetwork, as well as prior knowledge on the number of network channelscontrolled by the adversary. These requirements are overly restrictive,e.g. estimating the network capacity can be costly, especially for largenetworks; the network capacity may change over time, such as usersjoining or leaving a P2P (peer-to-peer) network, and the number ofchannels controlled by the adversary is usually not known.

Therefore, there is need for providing a manner of addressing theproblem of key distribution in a network coding system that is secureand reliable. There is also a need to provide key distribution in anetwork coding system that does not have overly restrictiverequirements. There is also a need to have a key distribution schemethat can be used in a reliable multicast over a network in the presenceof adversarial errors.

SUMMARY OF INVENTION

In view of the foregoing and other problems, disadvantages, anddrawbacks of the aforementioned background art, an exemplary aspect ofthe disclosed invention provides a system, apparatus, and method ofproviding for a practical key distribution in network coding systems.

One example aspect of the disclosed invention provides an encoderincluding a computer readable storage medium storing programinstructions, and a processor executing the program instructions, theprocessor configured to generate a k-bit key, where k is a positiveinteger, to estimate an upper bound of a number of eavesdropped links,encode each bit of the k-bit key using a random matrix of a selectedrank, and transmit the encoded k-bit key through a network that performslinear operations on packets including both network coding operationsand regular routing (store and forward) operations.

The encoder includes of generating a key matrix from a first matrixgenerated from the k-bit key and a second random matrix generatedwithout the k-bit key. Each bit of information of the k-bit key isrepresented by a matrix. Depending on a state of a bit of the k-bit key,the bit is sent to either a full rank random matrix generator or a lowrank zero matrix generator and produces a first matrix. The first matrixis combined with a second random matrix to produce a matrix of selecteddimension and rank that represents the bit. The key matrix isconstructed by concatenating the k matrices representing the k bits ofthe key. The encoder uses a universal secure network code to generatethe encoded key. This step includes generating a parity check matrix ofa maximum rank distance code, and multiplying it with a vector spaceisomorphism of the generated key matrix that represents the k-bit key.

Stated another way, the encoder generates k matrices from the k-bit key,i.e., one matrix is generated from each bit of the k-bit key. Dependingon the value of the bit of the k-bit key, the matrix is either ahigh-rank matrix in which all entries are random, or a low-rank matrixin which a subset of selected entries are random and the remainingentries are zero. The encoder then uses a universal secure network codeto generate a matrix representing the encoded k-bit key from the kmatrices. This step includes: 1) apply a vector space isomorphism to thek matrices and view them as matrices with entries from a field of alarger size; 2) concatenate the k matrices; 3) generate a parity checkmatrix of a maximum rank distance code, and 4) multiply a variant of theparity check matrix to the concatenated matrix to obtain the matrixrepresenting the encoded key.

A system including the encoder further includes a decoder deployed inone or more terminals, the decoder including the processor executing theprogram instructions, the processor configured to decode the encoded keyfrom received matrix from the network using a rank distance metric. Thedecoder further includes of generating an estimate using a rank distancemetric from the matrix received from the network. The decoder tests therank of a second matrix generated using a first set of matrices thatresult from a reduction transformation of the matrix received by thenetwork and a second set of full rank matrices that are derived bysolving a set of equations using the first set of matrices.

Stated another way, the decoder un-concatenates the received matrix,which is a corrupted version of the matrix representing the encodedk-bit key, into k matrices. The decoder performs matrix operationsincluding elementary row operations, matrix inversions andmultiplications, on each of the k matrices. The ranks of the k resultingmatrices are close to the ranks of the k matrices generated during theencoding phase. The decoder decodes the k-bit key by testing the rank ofthe k resulting matrices.

In another example aspect of disclosed invention, a method, includesgenerating a k-bit key, where k is a positive integer, estimating anupper bound of a number of eavesdropped links, encoding each bit of thek-bit key using a random matrix of a selected rank, and transmitting theencoded k-bit key through a network that performs linear operations onpackets, including network coding operations.

In yet another example aspect of disclosed invention, a computer programproduct for encoding and decoding, the computer program productcomprising a computer readable storage medium having programinstructions embodied therewith, the program instructions readable andexecutable by a computer to cause the computer to generate a k-bit key,where k is a positive integer, estimate an upper bound of a number ofeavesdropped links, encode each bit of the k-bit key using a randommatrix of a selected rank, and transmit the encoded k-bit key through anetwork that performs linear operations on packets.

There has thus been outlined, rather broadly, certain embodiments of theinvention in order that the detailed description thereof herein may bebetter understood, and in order that the present contribution to the artmay be better appreciated. There are, of course, additional embodimentsof the invention that will be described below and which will form thesubject matter of the claims appended hereto.

It is to be understood that the invention is not limited in itsapplication to the details of construction and to the arrangements ofthe components set forth in the following description or illustrated inthe drawings. The invention is capable of embodiments in addition tothose described and of being practiced and carried out in various ways.Also, it is to be understood that the phraseology and terminologyemployed herein, as well as the abstract, are for the purpose ofdescription and should not be regarded as limiting.

As such, those skilled in the art will appreciate that the conceptionupon which this disclosure is based may readily be utilized as a basisfor the designing of other structures, methods and systems for carryingout the several purposes of the present invention. It is important,therefore, that the claims be regarded as including such equivalentconstructions insofar as they do not depart from the spirit and scope ofthe present invention.

BRIEF DESCRIPTION OF DRAWINGS

The exemplary aspects of the invention will be better understood fromthe following detailed description of the exemplary embodiments of theinvention with reference to the drawings.

FIG. 1 illustrates a system for key distribution in an exampleembodiment.

FIG. 2 illustrates further detail of an encoder with key distribution inan example embodiment.

FIG. 3 illustrates further detail of a decoder with key distribution inan example embodiment.

FIG. 4 a flow chart of a system for key distribution in an exampleembodiment.

FIG. 5 illustrates an exemplary hardware/information handling system forincorporating the exemplary embodiment of the invention therein.

FIG. 6 illustrates a signal-bearing storage medium for storingmachine-readable instructions of a program that implements the methodaccording to the exemplary embodiment of the invention.

FIG. 7 depicts a cloud computing node according to an embodiment of thepresent invention.

FIG. 8 depicts a cloud computing environment according to an embodimentof the present invention.

FIG. 9 depicts abstraction model layers according to an embodiment ofthe present invention.

DETAILED DESCRIPTION OF A PREFERRED EMBODIMENTS

The invention will now be described with reference to the drawingfigures, in which like reference numerals refer to like partsthroughout. It is emphasized that, according to common practice, thevarious features of the drawing are not necessary to scale. On thecontrary, the dimensions of the various features can be arbitrarilyexpanded or reduced for clarity. Exemplary embodiments are providedbelow for illustration purposes and do not limit the claims.

Network coding systems is more flexible than classic store and forwardnetworks in that nodes have the capability to mix information in packetsusing linear operations before forwarding them. The benefits are tomaximize multicast/unicast throughput, improve robustness on packetlosses and mobility, and can be implemented in a distributed manner.However, there are new security challenges. There can be adversarialerrors where adversaries may be able to eavesdrop or inject errors insome links in the network. There can be pollution errors, where networkcoding systems are sensitive to errors which propagate due to the mixingof packets. Security challenges in network coding systems are addressedby error control schemes. However, most existing error control schemesfor network coding systems assume secret keys are shared among networknodes. One of the problems addressed in this invention is how to sharethe secret keys in the first place. Existing key distribution schemessuch as PKI or trusted third party typically require additionalinfrastructure and do not meet the requirements for network codingsystems. On the other hand, existing information-theoretic keydistribution schemes for network coding systems have the drawback ofrequiring prior knowledge on the exact network capacity, as well asprior knowledge on the exact number of network channels controlled bythe adversary.

Thus, there is disclosed an end-to-end mechanism for a source totransmit information to a terminal confidentially and reliably, througha network in which the nodes employ linear network codes that are notknown to the source and the terminal a priori. Unlike previousapproaches, the disclosed scheme operates in a rateless manner, i.e.,the scheme does not require knowledge of the network capacity and onlyrequire coarse estimation of the capability of the adversary. One of themany features of the disclosed invention is that one bit of informationis represented by the rank of a matrix transmitted. To send a bit of 0,a low-rank matrix is generated and transmitted. In order to send a bitof 1, a full-rank matrix is generated and transmitted. The adversarysees only a limited number of edges and therefore cannot distinguishwhich bit is sent.

The adversary can modify only a limited number of edges and so haslimited capability to change the rank of the transmitted matrix.Therefore the terminal, by testing the rank of the received matrix, candistinguish the bits. In addition, by choosing the rank of the low-rankmatrix carefully, the scheme operates in a rateless manner, i.e. withoutneeding to know the exact network capacity and the exact number ofnetwork channels controlled by the adversary. One of the many exampleadvantages is that the disclosed scheme does not require any additionalresources and infrastructure. Another advantage is that the disclosedscheme is end-to-end and does not require any collaboration fromintermediate network nodes. Another advantage is that the disclosedscheme does not require prior knowledge of the network capacity and thenumber of network channels controlled by the adversary.

Therefore, referring to FIG. 1 , there is disclosed a method forefficient and practical key distribution in network coding systems. Thesystem 10 setup is as follows. A source 20 wishes to distribute a k-bitkey 21 (k is a positive integer) to multiple terminals 40, where thenetwork 30 has capacity C. The adversary can insert errors on z_(e)network links and can eavesdrop on z_(w) network links 54. z_(w) 54 isupper bounded and z_(e)+z_(w)<C. The eavesdropper would be eavesdroppingon the network 30. The network 30 can be a black box (viewed in terms ofits input and output). It can be assumed that source 20 and terminals 40do not know the network coding scheme, C (capacity) or Z_(e) (networklinks). Reference 52 is the number of out-going edges of the source Cwhich is an upper bound of the network capacity C. References 52 and 54are located under encoder 22 to show that references 52 and 54 are theinputs to encoder 22.

In addition to upper bound on eavesdropped links, the system 10 alsotakes as input an upper bound on the network capacity which is easilyestimate as the number of outgoing network links from the source networknode where the encoder resides Ĉ. The disclosed scheme is adaptive. Inother words, the scheme adapts to the dynamics of the network 30 and theadversary and makes sure that the key is securely and reliably deliveredregardless of the dynamics.

The scheme is rateless and adaptive. A rateless scheme provides, forexample, that the scheme does not require knowledge of the networkcapacity (only an upper bound of capacity easily computed at the sourcewith local info) and only require coarse estimation of the capability ofthe adversary (i.e., upper bound on number eavesdropped links).

The scheme is made adaptive, for example, since there is a separatemethod that can accurately determine the parameters C, z_(e) and z_(w),even in a dynamic setting. The disclosed scheme can perform, forexample, when z_(w)<=z_(w′)<=C−z_(e), where z_(w′) is the estimate, andz_(w), C, z_(e) are the true parameters that one does not know. One mayalso assume that honest nodes dominate the network and so the gapbetween z_(w) and C−z_(e) is quite large (recall that z_(w)=C−z_(e)corresponds to the case that the adversary controls the min-cut), and sothat the disclosed scheme has a big margin for estimation error. Anotherway to see it is that the disclosed scheme works over a large “dynamicrange” without the need to revise parameters, whereas if other schemeswere used, then one needs to revise parameters very often.

The disclosed invention is able to distribute the k-bit key 21 in-bandusing the network coding system 10. The source encoder 22 can representeach bit by a random matrix and send over network 30, where “0” canrepresent a low rank random matrix, and “1” can represent a full rankrandom matrix.

The adversary sees only a limited number of edges (network links) z_(w)54 and cannot distinguish which bit is sent, and has limited capabilityz_(e) 52 to change the rank of the transmitted matrix. The terminaldecoder 42 (42 ₁ . . . 42 _(n), where n is an integer) can distinguishthe bits by testing the rank of the received matrix.

In the disclosed invention, there is no requirement for additionalresources and infrastructure for key distribution. There is norequirement for collaboration from intermediate network nodes, and noprior knowledge of the network coding scheme, the network capacity andnumber of network channels controlled by the adversary.

If encoder 22 and decoder(s) 42 are available, then the system 10 uses anetwork emulator to create different test scenarios with controllednetwork topologies and capacities C, and adversary parameters z_(w),z_(e).

If there is access to the encoder output, the detection would not bedifficult. Particularly, there can be a check of the rank of thesubmatrices of X corresponding to the W_(i)'s. The ranks of thesesubmatrices are very structured, i.e., either full rank or rank Z_(w) asexplained in more detail below.

If there is a control of the min-cut of the network, then the system canlisten to the cut edges. One of the problems with all existing codes isthat they require the knowledge of the min-cut (minimum cut value) ofthe network, and the number of errors in advance, for the purpose ofcode construction, encoding and decoding. A small set of packetsreceived from any small number of edges (<=z_(w)) looks uniformlyrandom, but a large set of packets from a large set of edges (>z_(w))looks less random (recall that we generate a lot of zero matrices thathave no entropy). Therefore, the system can test the entropy of thepackets and check if they exhibit this property.

A system can be provided for efficient and rateless error correction fornetwork coding provided that the source 20 and the terminal 40 share ashort secret key 21. The key 21 may be pre-allocated, communicated by asecure side-channel, or communicated over the network 30 by using publickey infrastructure while disabling network coding. The question is, ifthe above options are not available, is it possible to communicate thekey via the same network coding system. The disclosed invention showsthat this is possible in the following details.

An information-theoretic scheme of a system 10 to communicate a shortkey 21 secretly and reliably over the network 30, provided that theadversary has limited eavesdropping capability. Specifically, instead ofallowing the adversary to observe all edges in the network, one assumesthat the adversary can eavesdrop on at most a number of z_(w) edges inthe network 30, such that z_(e)+z_(w)<C. One can assume that the source20 has an upper bound on the passive parameter z_(w), and assume thatz_(e) and C are not known to the source 20 and the terminal 40. Thepresent scheme operates in a rateless manner.

One of the ideas is that one bit of information is represented by therank of a matrix transmitted. To send a bit of 0, a low-rank matrix isgenerated and transmitted. To send a bit of 1, a full-rank matrix isgenerated and transmitted. The adversary sees only a limited number ofedges and therefore cannot distinguish which bit is sent. The adversaryhas limited capability to change the rank of the transmitted matrix andtherefore the terminal, by testing the rank of the received matrix, candistinguish the bits. In the following, the detailed encoder and decoderto transmit k bits secretly and reliably is described.

Referring again to FIG. 1 , a system 10 is shown including a source 20,network 30 and destinations (terminals) 40. The network 30 can berepresented as a directed graph, where the set of vertices representsnetwork nodes and the set of edges represents noiseless network links.The network operates in a synchronized manner and each link can send asymbol from a finite field per transmission. A source 20 wishes tocommunicate reliably to a terminal 40. The linear network code C is aset of encoding functions defined over each edge. Each function takes asinput the signals received from all incoming edges at one end, andevaluates to the signal transmitted over the edge.

To transmit information over the network 30, the source 20 generates abatch of encoded packets as input to the network 30, represented by amatrix X, where packets are rows. As the packets travel through thenetwork 30, they undergo linear transforms defined by the network code

. Without loss of generality, it is assumed

is capacity-achieving, i.e., in the absence of adversarial errors 34,the terminal will observe a matrix AX 32 (linear operations on packetsincluding network coding operations), where A is the network transformmatrix. Note that when there are multiple terminals, a network transformmatrix is defined for each terminal and these matrices need not to bethe same. Therefore, when there are multiple terminals, each of themreceives different messages because the network transform matrix foreach of them is different. i.e., “A” can be different for differentterminals.

The adversary controls a subset of edges in the network 30, modeled inthe following way. For each compromised edge, the adversary injects anerror packet so that the packet received from this edge is the additionof the error packet and the packet originally transmitted on the edge.As the injected error packets travel through the network 30, theyundergo linear transformations defined by the network code

. The terminal receives the sum of the linearly transformed errorpackets and the linearly transformed X. More precisely, the terminalobserves a matrix Y=AX+BZ (36), where B is the network transformingmatrix (determined by the network code) from the compromised edges toterminal, and Z are the injected error packets. From the network 30, areceive Rx Message 46 (i.e., Y_(i), where i is an integer) is sent todecoder 42 ₁ to decoder 42 _(n). In the key distribution scheme there isno need to note a period since everything finishes within just oneperiod.

Therefore, a k-bit key s₁ . . . , s_(k) is received or used by theencoder 22, which then generates transmit encoded key X 24, which aresent to the network 30. Let C be an upper bound of the network capacityC, i.e., the min-cut from the source to the terminals. For example, onecan choose C to be the number of out-going edges of the source. Letz_(w) be an upper bound of the number of edges that is controlled by theadversary. The encoded key X 24 is such that X∈

_(q) ^(C×(kC(C−zw)+C)) (i.e., a matrix of a size over

_(q)).

_(q) is the finite field of size q of symbols transmitted as data overthe network 30.

From the network 30, a receive Rx Message 46 (i.e., Y_(i)) is sent todecoder 42 ₁ is received by decoder 42 _(n). The decoders (decoders 42 ₁to 42 _(n), where n is a positive integer) then output decoded key s₁ .. . , s_(k) 50. Outgoing links z_(e) 52 and upper bound on eavesdroppedlinks z_(w) 54 are received at encoder 22.

In further detail, the network 30 can be represented as a directed graph

=(

;

), where the set of vertices

represents network nodes and the set of edges

represents noiseless network links. Denote by C the min-cut (ormax-flow) of the network with respect to s and t. The linear networkcode

implemented in

is represented by a set of encoding functions

. For each compromised edge (u; v), the adversary injects an errorpacket so that the packet received by v from this edge is the additionof the error packet and the packet originally transmitted on the edge.The terminal 40 observes a matrix Y=AX+BZ, where B is the networktransform matrix (determined by the network code) from the compromisededges to t, and Z are the z_(e) injected error packets. The adversarymay choose Z carefully in order to corrupt the communication between sand t. Note that z_(e), Z and B are not known to the source 20 and theterminal 40. The network 30 shows the matrix Y=AX+BZ with the networkcoding operations 32 (AX) and the adversarial error 34 (BZ).

The adversary controls z_(e)<C edges in the network 30, modeled in thefollowing way. For each compromised edge (u, v), the adversary injectsan error packet so that the packet received by v from this edge is theaddition (over

_(q), (finite field)) of the error packet and the packet originallytransmitted on the edge. As the injected error packets travel throughthe network 30, they undergo linear transforms defined by the networkcode

. The terminal 40 receives the sum of the linearly transformed errorpackets and the linearly transformed X. More precisely, the terminal 40observes a matrix Y=AX+BZ, where B∈

_(q) ^(C×Zq) is the network transform matrix (determined by the networkcode) from the compromised edges to t, and Z∈

_(q) ^(Ze×n) are the z_(e) injected error packets. The adversary maychoose Z carefully in order to corrupt the communication between s(source 20) and t (terminal 40). Note that z_(e), Z and B are not knownto the source 20 and the terminal 40.

Therefore, as indicated previously, one bit of information isrepresented by the rank of a matrix transmitted. To send a bit of 0, alow-rank matrix is generated and transmitted; and to send a bit of 1, afull-rank matrix is generated and transmitted. This is because theadversary sees only a limited number of edges and therefore cannotdistinguish which bit is sent. The adversary has limited capability tochange the rank of the transmitted matrix and therefore the terminal, bytesting the rank of the received matrix, can distinguish the bits. Thefollowing describes the detailed encoder 22 and decoder 42 to transmit kbits secretly and reliably.

Referring to FIG. 2 , the encoding 22 is further detailed. The encoder22 produces streams of encoded packets using random linear codes.

A k-bits key 202 is generated by the system 10. Therefore, one candenote the k bits to be transmitted by s₁, . . . , s_(k) 202. Therefore,a key s_(i) is received by the encoder, where i is a positive integer (kis ≥1). At module 204, if the key s_(i) is 1, then it is sent to arandom matrix generator 205. If the key is 0, then the key s_(i) is sentto the Zero matrix generator 206.

For each of the bits of the key 202, a matrix S_(i)∈

_(q) ^((C−z) ^(w) ^()×C(C−z) ^(w) ⁾ is generated from the random matrixgenerator 205. S_(i) is a zero matrix if s_(i)=0 (from zero matrixgenerator 206) or a random matrix if s_(i)=1 (from random matrixgenerator 205). Let

$N_{i} \in {\mathbb{F}}_{q}^{{(z_{w})} \times {\overset{\_}{C}{({\overset{\_}{C} - z_{w}})}}}$be a random matrix,

${W_{i} = \begin{bmatrix}S_{i} \\N_{i}\end{bmatrix}},$and W=[W₁, . . . W_(k)] at module 212 when Si is received fromgenerators 205 and 206 and N_(i) is received from random matrixgenerator 208 (where i is an integer). The separate random matrixgenerator 208 outputs N_(i) where N_(i)∈

_(q) ^(z) ^(w) ^(×C(C−z) ^(w) ⁾. The module 208 outputs W to module 214where the universal network code is applied. Let Q=q^(c) and let

_(Q) be the degree C extension field of

_(Q).

_(Q) is a vector space over

_(q) and let φ:

_(q) ^(1×C) →

_(Q) be the vector space isomorphism. Then let φ (S_(i)) and φ(N_(i))denote the matrices obtained by applying the vector space isomorphism φto each row of S_(i) or N_(i), so that each length-C row segment maps toa symbol

_(Q). Further, φ(W) is denoted as:

${\varphi(W)} = \begin{bmatrix}{\varphi\left( S_{1} \right)} & \cdots & {\varphi\left( S_{k} \right)} \\{\varphi\left( N_{1} \right)} & \cdots & {\varphi\left( N_{k} \right)}\end{bmatrix}$

φ(W) is outputted from module 214 and a product (matrix multiplication)215 is generated from φ(W) and the output

$\begin{bmatrix}I & {- P} \\0 & I\end{bmatrix}\quad$from module 216.

The output from module 216 is explained further as follows. Let H∈

_(Q) ^((C−z) ^(w) ^()×C) be a parity check matrix of a (C, z_(w))maximum rank distance (MRD) code over F_(Q). Therefore, module 210generates parity check matrix H of a (C,z_(w)) maximum rank distance(MRD) code over

_(Q) Without loss of generality one may assume H=[I P], which is outputfrom the module 210. At module 216, (I,P) is extracted from H to outputthe matrix

$\begin{bmatrix}I & {- P} \\0 & I\end{bmatrix}.$Then X_(Q) is output from the product (matrix multiplication) 215 of thematrix

$\begin{bmatrix}I & {- P} \\0 & I\end{bmatrix}\quad$derived from the check parity matrix 210 and the matrix φ(W) derivedfrom k-bit key 202.

The source 20 then computes:

${X_{Q} = {\begin{bmatrix}I & {- P} \\0 & I\end{bmatrix}{\varphi(W)}}},$

where X_(Q) is a C×k(C−z_(w)) matrix over

_(Q) from the product 215. Finally, the encoder obtains at module 218from the received input X_(Q):X=[Iφ ⁻¹(X _(Q))],

where X is a C×(kC(C−z_(w))+C) matrix over

_(q) since φ⁻¹ expends each entry of X_(Q) into a length−C row vectorover

_(q). Finally, the source inputs X into the network 30 and thereafter itundergoes the network transforms.

Referring to FIG. 3 , the decoder(s) 42 is further described. Theterminal 40 observes a batch of packets from the network 30 Y=AX+BZ. Oneof the objectives of the decoder 42 is to obtain from Y (302) a goodestimation of X_(Q), such that it is close to X_(Q) in rank distance.The decoder 42 can accomplish this by performing a reductiontransformation on Y 302 at module 304, which essentially involves a rowreduction on Y 302 and an insertion of zero rows. Therefore, at module304 there is reduction of Y to (L, R_(i), E_(i)). From this the decoder42 will obtain a matrix L∈

_(Q) ^(C×μ); a set of matrices R_(i)∈

_(Q) ^(C×(C−z) ^(w) ⁾, i=1, k; and a set of matrices E_(i)∈

_(Q) ^(δ×(C−z) ^(w) ⁾, i=1, k. These matrices are useful because theyare related to X_(Q) in the following way. Divide X_(Q) into [X₁ . . .X_(k)] where X_(i) is a C×(C−z_(w)) matrix over

_(Q), then by a theorem, there exist matrices U_(L,i), U_(E,i) and U_(i)such that rank (U_(i))≤z_(e)−max {μ+C−C, δ}, and such thatR _(i) =X _(i) +LU _(L,i) +U _(E,i) E _(i) +U _(i).

To decode, the terminal 40 solves for full rank matrices J∈

_(Q) ^((C−z) ^(w) ^(−μ)×(C−z) ^(w) ⁾ at module 308 and K_(i) ∈

_(Q) ^((C−z) ^(w) ^()×(C−z) ^(w) ^(−δ)) at module 306 such that JHL=0and E_(i)K_(i)=0. Therefore, at module 308, the decoder 42 finds J suchthat JHL=0 at module 306, the decoder 42 finds K_(i) such thatE_(i)K_(i)=0. A product 310 is performed of the output of module 308,304 and 306 to output matrix B_(i)=JHR_(i)K_(i) where i=1, . . . k(where k is positive integer).

Finally, the decoder 42 tests at module 312 the rank of the matrixB_(i)=JHR_(i)K_(i) and decodes s_(i)=1 if the matrix B_(i) is full rankat module 316 or s_(i)=0 at module 314 otherwise. Thereby, the key s₁, .. . , s_(k) 318 is output from the decoder(s) 42.

FIG. 4 provides a flow chart of the method of system of distributingkeys 10 according to an example embodiment. With reference to FIGS. 1through 4 , the system 10 generates k-bit key 24 (step 410). Then, afterreceiving the k-bit key 24 by the encoder 24, the system 10 provides anestimation of an upper bound 54 of Z_(w) number of eavesdropped links(step 420). Then the encoder 22 encodes each bit of the k-bit key 24using a random matrix of carefully chosen rank (step 430). Then, theencoder 22 uses a universal secure network code to generate encoded keyX 220 (step 440). Then, the encoder 22 transmits X over a network 30performing linear operations on packets (including network codingoperations or even store and forward routing operations) (step 450).Then, the decoder(s) 42 decode X from received Y=AX+BZ using a rankmetric decoder (step 460). Thereby, the key s₁, . . . , s_(k) 318 isoutput from the decoder(s) 42.

Exemplary Hardware and Cloud Implementation

FIG. 5 illustrates another hardware configuration of an informationhandling/computer system 1100 in accordance with the disclosed inventionand which preferably has at least one processor or central processingunit (CPU) 1110 that can implement the techniques of the invention in aform of a software program.

The CPUs 1110 are interconnected via a system bus 1112 to a randomaccess memory (RAM) 1114, read-only memory (ROM) 1116, input/output(I/O) adapter 1118 (for connecting peripheral devices such as disk units1121 and tape drives 1140 to the bus 1112), user interface adapter 1122(for connecting a keyboard 1124, mouse 1126, speaker 1128, microphone1132, and/or other user interface device to the bus 1112), acommunication adapter 1134 for connecting an information handling systemto a data processing network, the Internet, an Intranet, a personal areanetwork (PAN), etc., and a display adapter 1136 for connecting the bus1112 to a display device 1138 and/or printer 1139 (e.g., a digitalprinter or the like).

In addition to the hardware/software environment described above, adifferent aspect of the invention includes a computer-implemented methodfor performing the above method. As an example, this method may beimplemented in the particular environment discussed above.

Such a method may be implemented, for example, by operating a computer,as embodied by a digital data processing apparatus, to execute asequence of machine-readable instructions. These instructions may residein various types of signal-bearing media.

Thus, this aspect of the present invention is directed to a programmedproduct, comprising signal-bearing storage media tangibly embodying aprogram of machine-readable instructions executable by a digital dataprocessor incorporating the CPU 1110 and hardware above, to perform themethod of the invention.

This signal-bearing storage media may include, for example, a RAMcontained within the CPU 1110, as represented by the fast-access storagefor example.

Alternatively, the instructions may be contained in anothersignal-bearing storage media 1200, such as a magnetic data storagediskette 1210 or optical storage diskette 1220 (FIG. 6 ), directly orindirectly accessible by the CPU 1210.

Whether contained in the diskette 1210, the optical disk 1220, thecomputer/CPU 1210, or elsewhere, the instructions may be stored on avariety of machine-readable data storage media.

Therefore, the present invention may be a system, a method, and/or acomputer program product. The computer program product may include acomputer readable storage medium (or media) having computer readableprogram instructions thereon for causing a processor to carry outaspects of the present invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++ or the like, andconventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks.

These computer readable program instructions may also be stored in acomputer readable storage medium that can direct a computer, aprogrammable data processing apparatus, and/or other devices to functionin a particular manner, such that the computer readable storage mediumhaving instructions stored therein comprises an article of manufactureincluding instructions which implement aspects of the function/actspecified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

Referring now to FIG. 7 , a schematic 1400 of an example of a cloudcomputing node is shown. Cloud computing node 1400 is only one exampleof a suitable cloud computing node and is not intended to suggest anylimitation as to the scope of use or functionality of embodiments of theinvention described herein. Regardless, cloud computing node 1400 iscapable of being implemented and/or performing any of the functionalityset forth hereinabove.

In cloud computing node 1400 there is a computer system/server 1412,which is operational with numerous other general purpose or specialpurpose computing system environments or configurations. Examples ofwell-known computing systems, environments, and/or configurations thatmay be suitable for use with computer system/server 1412 include, butare not limited to, personal computer systems, server computer systems,thin clients, thick clients, handheld or laptop devices, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or devices, and the like.

Computer system/server 1412 may be described in the general context ofcomputer system-executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 1412 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage devices.

As shown in FIG. 7 , computer system/server 1412 in cloud computing node1400 is shown in the form of a general-purpose computing device. Thecomponents of computer system/server 1412 may include, but are notlimited to, one or more processors or processing units 1416, a systemmemory 1428, and a bus 1418 that couples various system componentsincluding system memory 1428 to processor 1416.

Bus 1418 represents one or more of any of several types of busstructures, including a memory bus or memory controller, a peripheralbus, an accelerated graphics port, and a processor or local bus usingany of a variety of bus architectures. By way of example, and notlimitation, such architectures include Industry Standard Architecture(ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA)bus, Video Electronics Standards Association (VESA) local bus, andPeripheral Component Interconnect (PCI) bus.

Computer system/server 1412 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 1412, and it includes both volatileand non-volatile media, removable and non-removable media.

System memory 1428 can include computer system readable media in theform of volatile memory, such as random access memory (RAM) 1430 and/orcache memory 1432. Computer system/server 1412 may further include otherremovable/non-removable, volatile/non-volatile computer system storagemedia. By way of example only, storage system 1434 can be provided forreading from and writing to a non-removable, non-volatile magnetic media(not shown and typically called a “hard drive”). Although not shown, amagnetic disk drive for reading from and writing to a removable,non-volatile magnetic disk (e.g., a “floppy disk”), and an optical diskdrive for reading from or writing to a removable, non-volatile opticaldisk such as a CD-ROM, DVD-ROM or other optical media can be provided.In such instances, each can be connected to bus 1418 by one or more datamedia interfaces. As will be further depicted and described below,memory 1428 may include at least one program product having a set (e.g.,at least one) of program modules that are configured to carry out thefunctions of embodiments of the invention.

Program/utility 1440, having a set (at least one) of program modules1442, may be stored in memory 1428 by way of example, and notlimitation, as well as an operating system, one or more applicationprograms, other program modules, and program data. Each of the operatingsystem, one or more application programs, other program modules, andprogram data or some combination thereof, may include an implementationof a networking environment. Program modules 1442 generally carry outthe functions and/or methodologies of embodiments of the invention asdescribed herein.

Computer system/server 1412 may also communicate with one or moreexternal devices 1414 such as a keyboard, a pointing device, a display1424, etc.; one or more devices that enable a user to interact withcomputer system/server 1412; and/or any devices (e.g., network card,modem, etc.) that enable computer system/server 1412 to communicate withone or more other computing devices. Such communication can occur viaInput/Output (I/O) interfaces 1422. Still yet, computer system/server1412 can communicate with one or more networks such as a local areanetwork (LAN), a general wide area network (WAN), and/or a publicnetwork (e.g., the Internet) via network adapter 1420. As depicted,network adapter 1420 communicates with the other components of computersystem/server 1412 via bus 1418. It should be understood that althoughnot shown, other hardware and/or software components could be used inconjunction with computer system/server 1412. Examples, include, but arenot limited to: microcode, device drivers, redundant processing units,external disk drive arrays, RAID systems, tape drives, and data archivalstorage systems, etc.

Referring now to FIG. 8 , illustrative cloud computing environment 1550is depicted. As shown, cloud computing environment 1550 comprises one ormore cloud computing nodes 1400 with which local computing devices usedby cloud consumers, such as, for example, personal digital assistant(PDA) or cellular telephone 1554A, desktop computer 1554B, laptopcomputer 1554C, and/or automobile computer system 1554N may communicate.Nodes 1400 may communicate with one another. They may be grouped (notshown) physically or virtually, in one or more networks, such asPrivate, Community, Public, or Hybrid clouds as described hereinabove,or a combination thereof. This allows cloud computing environment 1550to offer infrastructure, platforms and/or software as services for whicha cloud consumer does not need to maintain resources on a localcomputing device. It is understood that the types of computing devices1554A-N shown in FIG. 8 are intended to be illustrative only and thatcomputing nodes 1400 and cloud computing environment 1550 cancommunicate with any type of computerized device over any type ofnetwork and/or network addressable connection (e.g., using a webbrowser).

Referring now to FIG. 9 , a set of functional abstraction layersprovided by cloud computing environment 1550 (FIG. 8 ) is shown. Itshould be understood in advance that the components, layers, andfunctions shown in FIG. 9 are intended to be illustrative only andembodiments of the invention are not limited thereto. As depicted, thefollowing layers and corresponding functions are provided:

Hardware and software layer 1660 includes hardware and softwarecomponents. Examples of hardware components include mainframes, in oneexample IBM® zSeries® systems; RISC (Reduced Instruction Set Computer)architecture based servers, in one example IBM pSeries® systems; IBMxSeries® systems; IBM BladeCenter® systems; storage devices; networksand networking components. Examples of software components includenetwork application server software, in one example IBM WebSphere®application server software; and database software, in one example IBMDB2® database software. (IBM, zSeries, pSeries, xSeries, BladeCenter,Web Sphere, and DB2 are trademarks of International Business MachinesCorporation registered in many jurisdictions worldwide).

Virtualization layer 1662 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers;virtual storage; virtual networks, including virtual private networks;virtual applications and operating systems; and virtual clients.

In one example, management layer 1664 may provide the functionsdescribed below. Resource provisioning provides dynamic procurement ofcomputing resources and other resources that are utilized to performtasks within the cloud computing environment. Metering and Pricingprovide cost tracking as resources are utilized within the cloudcomputing environment, and billing or invoicing for consumption of theseresources. In one example, these resources may comprise applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal provides access to the cloud computing environment forconsumers and system administrators. Service level management providescloud computing resource allocation and management such that requiredservice levels are met. Service Level Agreement (SLA) planning andfulfillment provide pre-arrangement for, and procurement of, cloudcomputing resources for which a future requirement is anticipated inaccordance with an SLA.

Workloads layer 1666 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include such functionsas mapping and navigation; software development and lifecyclemanagement; virtual classroom education delivery; data analyticsprocessing; transaction processing; and, more particularly relative tothe disclosed invention, the APIs and run-time system components ofgenerating search autocomplete suggestions based on contextual input.

The many features and advantages of the invention are apparent from thedetailed specification, and thus, it is intended by the appended claimsto cover all such features and advantages of the invention which fallwithin the true spirit and scope of the invention. Further, sincenumerous modifications and variations will readily occur to thoseskilled in the art, it is not desired to limit the invention to theexact construction and operation illustrated and described, andaccordingly, all suitable modifications and equivalents may be resortedto, falling within the scope of the invention.

What is claimed is:
 1. An encoder comprising: a computer readablestorage medium storing program instructions; and a processor executingthe program instructions, the processor configured to: generate a key;estimate a network capacity; encode each one of a plurality of bits ofinformation of the key using a random matrix of a selected rank and theestimated network capacity for secure transmission of the key through anetwork; and transmit the encoded key through the network, wherein onebit of the plurality of bits of information from the key is representedby a rank of the random matrix of the encoded key, and wherein dependingon a state of a bit of the key, the bit is sent to either a randommatrix generator or a zero matrix generator.
 2. A method, comprising:generating a key; generate a random matrix; estimate a network capacity;encoding each one of a plurality of bits of information of the key usingthe random matrix of a selected rank and the estimated network capacityfor secure transmission of the key through a network; and transmittingthe encoded key through the network, wherein one bit of the plurality ofbits of information from the key is represented by a rank of the randommatrix of the encoded key, and wherein depending on a state of a bit ofthe key, the bit is sent to either a random matrix generator or a zeromatrix generator.
 3. A computer program product for encoding anddecoding, the computer program product comprising a computer readablestorage medium having program instructions embodied therewith, theprogram instructions readable and executable by a computer to cause thecomputer to: generate a key; estimate a network capacity; encode eachone of a plurality of bits of information of the key using a randommatrix of a selected rank and the estimated network capacity for securetransmission of the key through a network; and transmit the encoded keythrough the network, wherein the estimate of the network capacityincludes estimating an upper bound of a number of links includingdetermining a number of out-going edges of a source as an upper bound ofthe network capacity.
 4. The computer program product according to claim3, further comprising the program instructions readable and executableby the computer to cause the computer to: use a universal secure networkcode to generate the encoded key, and wherein the links includeeavesdrop links configured for eavesdropping on the network.
 5. Thecomputer program product according to claim 3, wherein the encodingfurther comprises generating the random matrix from a first matrixgenerated from the key and a second matrix generated without the key,further comprising a universal secure network code to generate theencoded key, and wherein the links include links configured forproviding an attack on the network.